Dataset statistics
| Number of variables | 32 |
|---|---|
| Number of observations | 40000 |
| Missing cells | 44194 |
| Missing cells (%) | 3.5% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 9.8 MiB |
| Average record size in memory | 256.0 B |
Variable types
| Numeric | 10 |
|---|---|
| Categorical | 11 |
| Unsupported | 1 |
| Boolean | 10 |
QUANT_DEPENDANTS has constant value "0" | Constant |
FLAG_OTHER_CARD has constant value "False" | Constant |
QUANT_BANKING_ACCOUNTS has constant value "0" | Constant |
FLAG_MOBILE_PHONE has constant value "False" | Constant |
FLAG_CONTACT_PHONE has constant value "False" | Constant |
COD_APPLICATION_BOOTH has constant value "0" | Constant |
FLAG_CARD_INSURANCE_OPTION has constant value "False" | Constant |
PERSONAL_REFERENCE_#1 has a high cardinality: 17572 distinct values | High cardinality |
PERSONAL_REFERENCE_#2 has a high cardinality: 13672 distinct values | High cardinality |
QUANT_ADDITIONAL_CARDS_IN_THE_APPLICATION is highly correlated with FLAG_MOBILE_PHONE and 6 other fields | High correlation |
FLAG_MOBILE_PHONE is highly correlated with QUANT_ADDITIONAL_CARDS_IN_THE_APPLICATION and 17 other fields | High correlation |
FLAG_RESIDENCIAL_PHONE is highly correlated with FLAG_MOBILE_PHONE and 6 other fields | High correlation |
RESIDENCE_TYPE is highly correlated with FLAG_MOBILE_PHONE and 6 other fields | High correlation |
FLAG_MOTHERS_NAME is highly correlated with FLAG_MOBILE_PHONE and 6 other fields | High correlation |
FLAG_CARD_INSURANCE_OPTION is highly correlated with QUANT_ADDITIONAL_CARDS_IN_THE_APPLICATION and 17 other fields | High correlation |
FLAG_CONTACT_PHONE is highly correlated with QUANT_ADDITIONAL_CARDS_IN_THE_APPLICATION and 17 other fields | High correlation |
QUANT_BANKING_ACCOUNTS is highly correlated with QUANT_ADDITIONAL_CARDS_IN_THE_APPLICATION and 17 other fields | High correlation |
MARITAL_STATUS is highly correlated with FLAG_MOBILE_PHONE and 6 other fields | High correlation |
COD_APPLICATION_BOOTH is highly correlated with QUANT_ADDITIONAL_CARDS_IN_THE_APPLICATION and 17 other fields | High correlation |
FLAG_FATHERS_NAME is highly correlated with FLAG_MOBILE_PHONE and 6 other fields | High correlation |
SEX is highly correlated with FLAG_MOBILE_PHONE and 6 other fields | High correlation |
FLAG_OTHER_CARD is highly correlated with QUANT_ADDITIONAL_CARDS_IN_THE_APPLICATION and 17 other fields | High correlation |
FLAG_RESIDENCE_STATE=WORKING_STATE is highly correlated with FLAG_MOBILE_PHONE and 6 other fields | High correlation |
FLAG_RESIDENCIAL_ADDRESS=POSTAL_ADDRESS is highly correlated with FLAG_MOBILE_PHONE and 6 other fields | High correlation |
SHOP_RANK is highly correlated with FLAG_MOBILE_PHONE and 6 other fields | High correlation |
TARGET_LABEL_BAD=1 is highly correlated with FLAG_MOBILE_PHONE and 6 other fields | High correlation |
QUANT_DEPENDANTS is highly correlated with QUANT_ADDITIONAL_CARDS_IN_THE_APPLICATION and 17 other fields | High correlation |
FLAG_RESIDENCE_TOWN=WORKING_TOWN is highly correlated with FLAG_MOBILE_PHONE and 6 other fields | High correlation |
MARITAL_STATUS is highly correlated with AGE | High correlation |
AGE is highly correlated with MARITAL_STATUS | High correlation |
FLAG_RESIDENCIAL_PHONE is highly correlated with AREA_CODE_RESIDENCIAL_PHONE | High correlation |
AREA_CODE_RESIDENCIAL_PHONE is highly correlated with FLAG_RESIDENCIAL_PHONE | High correlation |
EDUCATION has 40000 (100.0%) missing values | Missing |
PERSONAL_REFERENCE_#2 has 4190 (10.5%) missing values | Missing |
MATE_INCOME is highly skewed (γ1 = 73.04313799) | Skewed |
PERSONAL_NET_INCOME is highly skewed (γ1 = 55.52751098) | Skewed |
ID_CLIENT is uniformly distributed | Uniform |
ID_CLIENT has unique values | Unique |
EDUCATION is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
MONTHS_IN_RESIDENCE has 774 (1.9%) zeros | Zeros |
MONTHS_IN_THE_JOB has 8347 (20.9%) zeros | Zeros |
MATE_INCOME has 38411 (96.0%) zeros | Zeros |
PERSONAL_NET_INCOME has 956 (2.4%) zeros | Zeros |
Reproduction
| Analysis started | 2022-06-22 21:46:09.116427 |
|---|---|
| Analysis finished | 2022-06-22 21:51:11.991337 |
| Duration | 5 minutes and 2.87 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
| Distinct | 40000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 24982.227 |
| Minimum | 2 |
|---|---|
| Maximum | 50000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 312.6 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 2475.9 |
| Q1 | 12458.75 |
| median | 25058.5 |
| Q3 | 37425.25 |
| 95-th percentile | 47518.1 |
| Maximum | 50000 |
| Range | 49998 |
| Interquartile range (IQR) | 24966.5 |
Descriptive statistics
| Standard deviation | 14428.53176 |
|---|---|
| Coefficient of variation (CV) | 0.5775518635 |
| Kurtosis | -1.196545227 |
| Mean | 24982.227 |
| Median Absolute Deviation (MAD) | 12483 |
| Skewness | -0.0005505929594 |
| Sum | 999289080 |
| Variance | 208182528.7 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2 | 1 | < 0.1% |
| 33275 | 1 | < 0.1% |
| 33267 | 1 | < 0.1% |
| 33269 | 1 | < 0.1% |
| 33270 | 1 | < 0.1% |
| 33271 | 1 | < 0.1% |
| 33272 | 1 | < 0.1% |
| 33273 | 1 | < 0.1% |
| 33274 | 1 | < 0.1% |
| 33276 | 1 | < 0.1% |
| Other values (39990) | 39990 |
| Value | Count | Frequency (%) |
| 2 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 |
| Value | Count | Frequency (%) |
| 50000 | 1 | |
| 49998 | 1 | |
| 49996 | 1 | |
| 49995 | 1 | |
| 49994 | 1 | |
| 49993 | 1 | |
| 49992 | 1 | |
| 49991 | 1 | |
| 49990 | 1 | |
| 49989 | 1 |
ID_SHOP
Real number (ℝ≥0)
| Distinct | 31 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20.82295 |
| Minimum | 1 |
|---|---|
| Maximum | 96 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 312.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 12 |
| median | 21 |
| Q3 | 24 |
| 95-th percentile | 55 |
| Maximum | 96 |
| Range | 95 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 14.57191346 |
|---|---|
| Coefficient of variation (CV) | 0.6998006266 |
| Kurtosis | 4.02119351 |
| Mean | 20.82295 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 1.683848981 |
| Sum | 832918 |
| Variance | 212.3406618 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 25 | 5356 | 13.4% |
| 22 | 3914 | 9.8% |
| 24 | 3502 | 8.8% |
| 55 | 3409 | 8.5% |
| 23 | 2375 | 5.9% |
| 20 | 1811 | 4.5% |
| 1 | 1616 | 4.0% |
| 12 | 1551 | 3.9% |
| 15 | 1542 | 3.9% |
| 19 | 1384 | 3.5% |
| Other values (21) | 13540 |
| Value | Count | Frequency (%) |
| 1 | 1616 | |
| 2 | 616 | 1.5% |
| 3 | 1356 | |
| 4 | 540 | 1.4% |
| 5 | 503 | 1.3% |
| 6 | 577 | 1.4% |
| 7 | 680 | |
| 8 | 489 | 1.2% |
| 9 | 986 | |
| 10 | 1294 |
| Value | Count | Frequency (%) |
| 96 | 179 | 0.4% |
| 81 | 5 | < 0.1% |
| 77 | 1 | < 0.1% |
| 66 | 371 | 0.9% |
| 55 | 3409 | |
| 50 | 5 | < 0.1% |
| 25 | 5356 | |
| 24 | 3502 | |
| 23 | 2375 | |
| 22 | 3914 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 3 |
| Missing (%) | < 0.1% |
| Memory size | 312.6 KiB |
| F | |
|---|---|
| M |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 39997 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | F |
|---|---|
| 2nd row | F |
| 3rd row | F |
| 4th row | M |
| 5th row | F |
Common Values
| Value | Count | Frequency (%) |
| F | 27903 | |
| M | 12094 | |
| (Missing) | 3 | < 0.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| f | 27903 | |
| m | 12094 |
Most occurring characters
| Value | Count | Frequency (%) |
| F | 27903 | |
| M | 12094 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 39997 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| F | 27903 | |
| M | 12094 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 39997 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| F | 27903 | |
| M | 12094 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 39997 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| F | 27903 | |
| M | 12094 |
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 312.6 KiB |
| S | |
|---|---|
| C | |
| O | |
| V | 1961 |
| D | 1723 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 40000 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | S |
|---|---|
| 2nd row | C |
| 3rd row | S |
| 4th row | S |
| 5th row | S |
Common Values
| Value | Count | Frequency (%) |
| S | 20375 | |
| C | 13721 | |
| O | 2220 | 5.5% |
| V | 1961 | 4.9% |
| D | 1723 | 4.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| s | 20375 | |
| c | 13721 | |
| o | 2220 | 5.5% |
| v | 1961 | 4.9% |
| d | 1723 | 4.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| S | 20375 | |
| C | 13721 | |
| O | 2220 | 5.5% |
| V | 1961 | 4.9% |
| D | 1723 | 4.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 40000 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 20375 | |
| C | 13721 | |
| O | 2220 | 5.5% |
| V | 1961 | 4.9% |
| D | 1723 | 4.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 40000 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| S | 20375 | |
| C | 13721 | |
| O | 2220 | 5.5% |
| V | 1961 | 4.9% |
| D | 1723 | 4.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 40000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| S | 20375 | |
| C | 13721 | |
| O | 2220 | 5.5% |
| V | 1961 | 4.9% |
| D | 1723 | 4.3% |
| Distinct | 72 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 34.649725 |
| Minimum | 15 |
|---|---|
| Maximum | 88 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 312.6 KiB |
Quantile statistics
| Minimum | 15 |
|---|---|
| 5-th percentile | 19 |
| Q1 | 23 |
| median | 33 |
| Q3 | 43 |
| 95-th percentile | 60 |
| Maximum | 88 |
| Range | 73 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 13.07620003 |
|---|---|
| Coefficient of variation (CV) | 0.3773825052 |
| Kurtosis | -0.01990747593 |
| Mean | 34.649725 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 0.7616857594 |
| Sum | 1385989 |
| Variance | 170.9870071 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 20 | 2022 | 5.1% |
| 19 | 2007 | 5.0% |
| 21 | 1808 | 4.5% |
| 22 | 1567 | 3.9% |
| 18 | 1486 | 3.7% |
| 23 | 1351 | 3.4% |
| 24 | 1244 | 3.1% |
| 25 | 1170 | 2.9% |
| 28 | 1117 | 2.8% |
| 26 | 1073 | 2.7% |
| Other values (62) | 25155 |
| Value | Count | Frequency (%) |
| 15 | 5 | < 0.1% |
| 16 | 12 | < 0.1% |
| 17 | 72 | 0.2% |
| 18 | 1486 | |
| 19 | 2007 | |
| 20 | 2022 | |
| 21 | 1808 | |
| 22 | 1567 | |
| 23 | 1351 | |
| 24 | 1244 |
| Value | Count | Frequency (%) |
| 88 | 2 | < 0.1% |
| 86 | 1 | < 0.1% |
| 84 | 1 | < 0.1% |
| 83 | 6 | |
| 82 | 6 | |
| 81 | 7 | |
| 80 | 7 | |
| 79 | 10 | |
| 78 | 11 | |
| 77 | 13 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 312.6 KiB |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 40000 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 40000 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 40000 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 40000 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 40000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 40000 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 40000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 40000 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 40000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 40000 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.2 KiB |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) |
| True | 32649 | |
| False | 7351 | 18.4% |
| Distinct | 59 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 33.812275 |
| Minimum | 1 |
|---|---|
| Maximum | 70 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 312.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 23 |
| Q1 | 31 |
| median | 31 |
| Q3 | 31 |
| 95-th percentile | 50 |
| Maximum | 70 |
| Range | 69 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 10.4029414 |
|---|---|
| Coefficient of variation (CV) | 0.3076675972 |
| Kurtosis | 1.285351655 |
| Mean | 33.812275 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -0.2287684343 |
| Sum | 1352491 |
| Variance | 108.2211899 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 31 | 28080 | |
| 50 | 8884 | 22.2% |
| 5 | 1951 | 4.9% |
| 23 | 793 | 2.0% |
| 24 | 90 | 0.2% |
| 49 | 37 | 0.1% |
| 32 | 26 | 0.1% |
| 27 | 20 | 0.1% |
| 42 | 12 | < 0.1% |
| 38 | 10 | < 0.1% |
| Other values (49) | 97 | 0.2% |
| Value | Count | Frequency (%) |
| 1 | 2 | < 0.1% |
| 2 | 3 | < 0.1% |
| 3 | 1 | < 0.1% |
| 4 | 1 | < 0.1% |
| 5 | 1951 | |
| 6 | 2 | < 0.1% |
| 7 | 2 | < 0.1% |
| 8 | 3 | < 0.1% |
| 9 | 1 | < 0.1% |
| 10 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 70 | 1 | < 0.1% |
| 69 | 2 | < 0.1% |
| 68 | 6 | |
| 67 | 2 | < 0.1% |
| 65 | 1 | < 0.1% |
| 64 | 1 | < 0.1% |
| 63 | 1 | < 0.1% |
| 62 | 1 | < 0.1% |
| 60 | 1 | < 0.1% |
| 59 | 1 | < 0.1% |
PAYMENT_DAY
Real number (ℝ≥0)
| Distinct | 16 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.31395 |
| Minimum | 1 |
|---|---|
| Maximum | 28 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 312.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 9 |
| median | 12 |
| Q3 | 20 |
| 95-th percentile | 28 |
| Maximum | 28 |
| Range | 27 |
| Interquartile range (IQR) | 11 |
Descriptive statistics
| Standard deviation | 7.159756766 |
|---|---|
| Coefficient of variation (CV) | 0.4675316797 |
| Kurtosis | -0.8118152063 |
| Mean | 15.31395 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.1133339367 |
| Sum | 612558 |
| Variance | 51.26211695 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 12 | 10150 | |
| 8 | 7206 | |
| 18 | 6638 | |
| 20 | 5050 | |
| 28 | 3604 | 9.0% |
| 25 | 2705 | 6.8% |
| 3 | 1563 | 3.9% |
| 23 | 1157 | 2.9% |
| 1 | 1091 | 2.7% |
| 16 | 213 | 0.5% |
| Other values (6) | 623 | 1.6% |
| Value | Count | Frequency (%) |
| 1 | 1091 | 2.7% |
| 3 | 1563 | 3.9% |
| 6 | 124 | 0.3% |
| 8 | 7206 | |
| 9 | 104 | 0.3% |
| 11 | 213 | 0.5% |
| 12 | 10150 | |
| 15 | 1 | < 0.1% |
| 16 | 213 | 0.5% |
| 18 | 6638 |
| Value | Count | Frequency (%) |
| 28 | 3604 | 9.0% |
| 27 | 54 | 0.1% |
| 25 | 2705 | 6.8% |
| 23 | 1157 | 2.9% |
| 22 | 127 | 0.3% |
| 20 | 5050 | |
| 18 | 6638 | |
| 16 | 213 | 0.5% |
| 15 | 1 | < 0.1% |
| 12 | 10150 |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 312.6 KiB |
| 0 | |
|---|---|
| 3 | 178 |
| 2 | 52 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 40000 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 39770 | |
| 3 | 178 | 0.4% |
| 2 | 52 | 0.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 39770 | |
| 3 | 178 | 0.4% |
| 2 | 52 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 39770 | |
| 3 | 178 | 0.4% |
| 2 | 52 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 40000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 39770 | |
| 3 | 178 | 0.4% |
| 2 | 52 | 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 40000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 39770 | |
| 3 | 178 | 0.4% |
| 2 | 52 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 40000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 39770 | |
| 3 | 178 | 0.4% |
| 2 | 52 | 0.1% |
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 312.6 KiB |
| P | |
|---|---|
| A | |
| C | |
| O | 1647 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 40000 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | P |
|---|---|
| 2nd row | P |
| 3rd row | O |
| 4th row | P |
| 5th row | A |
Common Values
| Value | Count | Frequency (%) |
| P | 29752 | |
| A | 5130 | 12.8% |
| C | 3471 | 8.7% |
| O | 1647 | 4.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| p | 29752 | |
| a | 5130 | 12.8% |
| c | 3471 | 8.7% |
| o | 1647 | 4.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| P | 29752 | |
| A | 5130 | 12.8% |
| C | 3471 | 8.7% |
| O | 1647 | 4.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 40000 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 29752 | |
| A | 5130 | 12.8% |
| C | 3471 | 8.7% |
| O | 1647 | 4.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 40000 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| P | 29752 | |
| A | 5130 | 12.8% |
| C | 3471 | 8.7% |
| O | 1647 | 4.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 40000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| P | 29752 | |
| A | 5130 | 12.8% |
| C | 3471 | 8.7% |
| O | 1647 | 4.1% |
| Distinct | 76 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 152.9211 |
| Minimum | 0 |
|---|---|
| Maximum | 1188 |
| Zeros | 774 |
| Zeros (%) | 1.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 312.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 12 |
| Q1 | 36 |
| median | 120 |
| Q3 | 240 |
| 95-th percentile | 420 |
| Maximum | 1188 |
| Range | 1188 |
| Interquartile range (IQR) | 204 |
Descriptive statistics
| Standard deviation | 136.0969619 |
|---|---|
| Coefficient of variation (CV) | 0.889981578 |
| Kurtosis | 1.081098854 |
| Mean | 152.9211 |
| Median Absolute Deviation (MAD) | 96 |
| Skewness | 1.092675097 |
| Sum | 6116844 |
| Variance | 18522.38303 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 12 | 4933 | 12.3% |
| 24 | 2902 | 7.3% |
| 120 | 2794 | 7.0% |
| 240 | 2768 | 6.9% |
| 36 | 2419 | 6.0% |
| 60 | 1966 | 4.9% |
| 48 | 1758 | 4.4% |
| 72 | 1502 | 3.8% |
| 180 | 1363 | 3.4% |
| 360 | 1316 | 3.3% |
| Other values (66) | 16279 |
| Value | Count | Frequency (%) |
| 0 | 774 | 1.9% |
| 12 | 4933 | |
| 24 | 2902 | |
| 36 | 2419 | |
| 48 | 1758 | 4.4% |
| 60 | 1966 | 4.9% |
| 72 | 1502 | 3.8% |
| 84 | 990 | 2.5% |
| 96 | 1222 | 3.1% |
| 108 | 664 | 1.7% |
| Value | Count | Frequency (%) |
| 1188 | 1 | < 0.1% |
| 1176 | 1 | < 0.1% |
| 1116 | 1 | < 0.1% |
| 1020 | 1 | < 0.1% |
| 900 | 1 | < 0.1% |
| 888 | 2 | |
| 852 | 1 | < 0.1% |
| 840 | 3 | |
| 828 | 2 | |
| 816 | 2 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.2 KiB |
| True | |
|---|---|
| False | 150 |
| Value | Count | Frequency (%) |
| True | 39850 | |
| False | 150 | 0.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.2 KiB |
| True | |
|---|---|
| False | 1658 |
| Value | Count | Frequency (%) |
| True | 38342 | |
| False | 1658 | 4.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.2 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 21740 | |
| True | 18260 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.2 KiB |
| True | |
|---|---|
| False | 347 |
| Value | Count | Frequency (%) |
| True | 39653 | |
| False | 347 | 0.9% |
| Distinct | 54 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50.6295 |
| Minimum | 0 |
|---|---|
| Maximum | 1176 |
| Zeros | 8347 |
| Zeros (%) | 20.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 312.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 12 |
| median | 24 |
| Q3 | 60 |
| 95-th percentile | 228 |
| Maximum | 1176 |
| Range | 1176 |
| Interquartile range (IQR) | 48 |
Descriptive statistics
| Standard deviation | 73.87513904 |
|---|---|
| Coefficient of variation (CV) | 1.459132305 |
| Kurtosis | 8.923171323 |
| Mean | 50.6295 |
| Median Absolute Deviation (MAD) | 24 |
| Skewness | 2.527016428 |
| Sum | 2025180 |
| Variance | 5457.536168 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 12 | 11593 | |
| 0 | 8347 | |
| 24 | 4018 | 10.0% |
| 36 | 2899 | 7.2% |
| 60 | 1932 | 4.8% |
| 48 | 1893 | 4.7% |
| 72 | 1393 | 3.5% |
| 120 | 1249 | 3.1% |
| 96 | 777 | 1.9% |
| 84 | 776 | 1.9% |
| Other values (44) | 5123 |
| Value | Count | Frequency (%) |
| 0 | 8347 | |
| 12 | 11593 | |
| 24 | 4018 | 10.0% |
| 36 | 2899 | 7.2% |
| 48 | 1893 | 4.7% |
| 60 | 1932 | 4.8% |
| 72 | 1393 | 3.5% |
| 84 | 776 | 1.9% |
| 96 | 777 | 1.9% |
| 108 | 405 | 1.0% |
| Value | Count | Frequency (%) |
| 1176 | 1 | < 0.1% |
| 1104 | 1 | < 0.1% |
| 780 | 1 | < 0.1% |
| 708 | 1 | < 0.1% |
| 684 | 2 | |
| 660 | 1 | < 0.1% |
| 612 | 1 | < 0.1% |
| 600 | 3 | |
| 588 | 1 | < 0.1% |
| 552 | 1 | < 0.1% |
PROFESSION_CODE
Real number (ℝ≥0)
| Distinct | 291 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 484.611875 |
| Minimum | 0 |
|---|---|
| Maximum | 999 |
| Zeros | 2 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 312.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 13 |
| Q1 | 88 |
| median | 514 |
| Q3 | 865 |
| 95-th percentile | 999 |
| Maximum | 999 |
| Range | 999 |
| Interquartile range (IQR) | 777 |
Descriptive statistics
| Standard deviation | 382.1023719 |
|---|---|
| Coefficient of variation (CV) | 0.7884709221 |
| Kurtosis | -1.661763842 |
| Mean | 484.611875 |
| Median Absolute Deviation (MAD) | 408 |
| Skewness | 0.07352655483 |
| Sum | 19384475 |
| Variance | 146002.2226 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 999 | 5084 | 12.7% |
| 950 | 3736 | 9.3% |
| 13 | 2002 | 5.0% |
| 205 | 1786 | 4.5% |
| 703 | 1547 | 3.9% |
| 26 | 1518 | 3.8% |
| 131 | 1046 | 2.6% |
| 514 | 996 | 2.5% |
| 60 | 959 | 2.4% |
| 40 | 774 | 1.9% |
| Other values (281) | 20552 |
| Value | Count | Frequency (%) |
| 0 | 2 | < 0.1% |
| 1 | 48 | 0.1% |
| 2 | 110 | |
| 3 | 5 | < 0.1% |
| 4 | 209 | |
| 5 | 2 | < 0.1% |
| 6 | 1 | < 0.1% |
| 7 | 10 | < 0.1% |
| 8 | 5 | < 0.1% |
| 9 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 999 | 5084 | |
| 992 | 238 | 0.6% |
| 991 | 63 | 0.2% |
| 990 | 1 | < 0.1% |
| 954 | 18 | < 0.1% |
| 953 | 223 | 0.6% |
| 952 | 155 | 0.4% |
| 951 | 6 | < 0.1% |
| 950 | 3736 | |
| 924 | 27 | 0.1% |
| Distinct | 561 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50.99333325 |
| Minimum | 0 |
|---|---|
| Maximum | 70000 |
| Zeros | 38411 |
| Zeros (%) | 96.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 312.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 70000 |
| Range | 70000 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 507.1591245 |
|---|---|
| Coefficient of variation (CV) | 9.945596653 |
| Kurtosis | 9259.924185 |
| Mean | 50.99333325 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 73.04313799 |
| Sum | 2039733.33 |
| Variance | 257210.3776 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 38411 | |
| 1000 | 70 | 0.2% |
| 500 | 69 | 0.2% |
| 600 | 65 | 0.2% |
| 800 | 64 | 0.2% |
| 1500 | 57 | 0.1% |
| 2000 | 54 | 0.1% |
| 1200 | 52 | 0.1% |
| 400 | 52 | 0.1% |
| 700 | 44 | 0.1% |
| Other values (551) | 1062 | 2.7% |
| Value | Count | Frequency (%) |
| 0 | 38411 | |
| 1 | 1 | < 0.1% |
| 100 | 1 | < 0.1% |
| 150 | 1 | < 0.1% |
| 155 | 1 | < 0.1% |
| 180 | 24 | 0.1% |
| 190 | 1 | < 0.1% |
| 196 | 2 | < 0.1% |
| 200 | 13 | < 0.1% |
| 201 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 70000 | 1 | < 0.1% |
| 22400 | 1 | < 0.1% |
| 21540 | 1 | < 0.1% |
| 11476 | 1 | < 0.1% |
| 10000 | 2 | |
| 8513 | 1 | < 0.1% |
| 8000 | 2 | |
| 7800 | 1 | < 0.1% |
| 7000 | 3 | |
| 6772 | 1 | < 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.2 KiB |
| True | |
|---|---|
| False | 842 |
| Value | Count | Frequency (%) |
| True | 39158 | |
| False | 842 | 2.1% |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.2 KiB |
| False |
|---|
| Value | Count | Frequency (%) |
| False | 40000 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 312.6 KiB |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 40000 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 40000 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 40000 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 40000 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 40000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 40000 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 40000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 40000 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 40000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 40000 |
| Distinct | 17572 |
|---|---|
| Distinct (%) | 43.9% |
| Missing | 1 |
| Missing (%) | < 0.1% |
| Memory size | 312.6 KiB |
| MARIA | 552 |
|---|---|
| MARCIA | 269 |
| FATIMA | 254 |
| SONIA | 253 |
| SANDRA | 211 |
| Other values (17567) |
Length
| Max length | 25 |
|---|---|
| Median length | 21 |
| Mean length | 10.03165079 |
| Min length | 1 |
Characters and Unicode
| Total characters | 401256 |
|---|---|
| Distinct characters | 64 |
| Distinct categories | 10 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 15474 ? |
|---|---|
| Unique (%) | 38.7% |
Sample
| 1st row | SARA |
|---|---|
| 2nd row | JACI |
| 3rd row | MARCIA CRISTINA ZANELLA |
| 4th row | MARCIO |
| 5th row | FABIO (NOIVO) |
Common Values
| Value | Count | Frequency (%) |
| MARIA | 552 | 1.4% |
| MARCIA | 269 | 0.7% |
| FATIMA | 254 | 0.6% |
| SONIA | 253 | 0.6% |
| SANDRA | 211 | 0.5% |
| MARIA JOSE | 198 | 0.5% |
| LUCIA | 197 | 0.5% |
| CLAUDIA | 190 | 0.5% |
| VERA | 188 | 0.5% |
| REGINA | 182 | 0.5% |
| Other values (17562) | 37505 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| maria | 3338 | 5.1% |
| 1265 | 1.9% | |
| de | 997 | 1.5% |
| silva | 978 | 1.5% |
| da | 870 | 1.3% |
| ana | 787 | 1.2% |
| jose | 715 | 1.1% |
| lucia | 687 | 1.1% |
| santos | 484 | 0.7% |
| fatima | 479 | 0.7% |
| Other values (8843) | 54276 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 70573 | |
| I | 42535 | |
| E | 37729 | |
| R | 31109 | 7.8% |
| 25651 | 6.4% | |
| N | 25059 | 6.2% |
| L | 24333 | 6.1% |
| O | 22522 | 5.6% |
| S | 18852 | 4.7% |
| M | 14743 | 3.7% |
| Other values (54) | 88150 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 370879 | |
| Space Separator | 25651 | 6.4% |
| Open Punctuation | 1247 | 0.3% |
| Close Punctuation | 1116 | 0.3% |
| Other Punctuation | 967 | 0.2% |
| Dash Punctuation | 864 | 0.2% |
| Decimal Number | 466 | 0.1% |
| Math Symbol | 59 | < 0.1% |
| Modifier Symbol | 6 | < 0.1% |
| Currency Symbol | 1 | < 0.1% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 70573 | |
| I | 42535 | |
| E | 37729 | |
| R | 31109 | |
| N | 25059 | 6.8% |
| L | 24333 | 6.6% |
| O | 22522 | 6.1% |
| S | 18852 | 5.1% |
| M | 14743 | 4.0% |
| D | 14630 | 3.9% |
| Other values (26) | 68794 |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 85 | |
| 1 | 58 | |
| 6 | 53 | |
| 0 | 48 | |
| 7 | 42 | |
| 5 | 38 | |
| 9 | 37 | |
| 4 | 36 | |
| 3 | 35 | |
| 8 | 34 | 7.3% |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 722 | |
| * | 131 | 13.5% |
| . | 99 | 10.2% |
| , | 8 | 0.8% |
| \ | 3 | 0.3% |
| ' | 3 | 0.3% |
| & | 1 | 0.1% |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 1246 | |
| [ | 1 | 0.1% |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 1115 | |
| ] | 1 | 0.1% |
Math Symbol
| Value | Count | Frequency (%) |
| = | 58 | |
| > | 1 | 1.7% |
Modifier Symbol
| Value | Count | Frequency (%) |
| ` | 5 | |
| ´ | 1 | 16.7% |
Space Separator
| Value | Count | Frequency (%) |
| 25651 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 864 |
Currency Symbol
| Value | Count | Frequency (%) |
| $ | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 370879 | |
| Common | 30377 | 7.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 70573 | |
| I | 42535 | |
| E | 37729 | |
| R | 31109 | |
| N | 25059 | 6.8% |
| L | 24333 | 6.6% |
| O | 22522 | 6.1% |
| S | 18852 | 5.1% |
| M | 14743 | 4.0% |
| D | 14630 | 3.9% |
| Other values (26) | 68794 |
Common
| Value | Count | Frequency (%) |
| 25651 | ||
| ( | 1246 | 4.1% |
| ) | 1115 | 3.7% |
| - | 864 | 2.8% |
| / | 722 | 2.4% |
| * | 131 | 0.4% |
| . | 99 | 0.3% |
| 2 | 85 | 0.3% |
| = | 58 | 0.2% |
| 1 | 58 | 0.2% |
| Other values (18) | 348 | 1.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 401057 | |
| None | 199 | < 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 70573 | |
| I | 42535 | |
| E | 37729 | |
| R | 31109 | 7.8% |
| 25651 | 6.4% | |
| N | 25059 | 6.2% |
| L | 24333 | 6.1% |
| O | 22522 | 5.6% |
| S | 18852 | 4.7% |
| M | 14743 | 3.7% |
| Other values (43) | 87951 |
None
| Value | Count | Frequency (%) |
| Ç | 127 | |
| Ã | 35 | 17.6% |
| Á | 11 | 5.5% |
| Í | 7 | 3.5% |
| É | 6 | 3.0% |
| Â | 3 | 1.5% |
| À | 3 | 1.5% |
| Ú | 3 | 1.5% |
| Ô | 2 | 1.0% |
| ´ | 1 | 0.5% |
| Distinct | 13672 |
|---|---|
| Distinct (%) | 38.2% |
| Missing | 4190 |
| Missing (%) | 10.5% |
| Memory size | 312.6 KiB |
| MARIA | 550 |
|---|---|
| MARCIA | 274 |
| SONIA | 266 |
| FATIMA | 259 |
| SANDRA | 231 |
| Other values (13667) |
Length
| Max length | 32 |
|---|---|
| Median length | 23 |
| Mean length | 8.937084613 |
| Min length | 1 |
Characters and Unicode
| Total characters | 320037 |
|---|---|
| Distinct characters | 64 |
| Distinct categories | 9 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 11673 ? |
|---|---|
| Unique (%) | 32.6% |
Sample
| 1st row | FELIPE |
|---|---|
| 2nd row | VALERIA ALEXANDRA TRAJANO |
| 3rd row | SANDRO L P MARTINS |
| 4th row | ANA |
| 5th row | EDU (AVO) |
Common Values
| Value | Count | Frequency (%) |
| MARIA | 550 | 1.4% |
| MARCIA | 274 | 0.7% |
| SONIA | 266 | 0.7% |
| FATIMA | 259 | 0.6% |
| SANDRA | 231 | 0.6% |
| LUCIA | 228 | 0.6% |
| ANA | 223 | 0.6% |
| VERA | 210 | 0.5% |
| CLAUDIA | 193 | 0.5% |
| REGINA | 189 | 0.5% |
| Other values (13662) | 33187 | |
| (Missing) | 4190 | 10.5% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| maria | 2369 | 4.5% |
| 1139 | 2.2% | |
| ana | 724 | 1.4% |
| de | 569 | 1.1% |
| jose | 559 | 1.1% |
| lucia | 550 | 1.1% |
| silva | 513 | 1.0% |
| da | 511 | 1.0% |
| fatima | 403 | 0.8% |
| marcia | 392 | 0.8% |
| Other values (7840) | 44337 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 57006 | |
| I | 34826 | |
| E | 30120 | |
| R | 24664 | 7.7% |
| N | 20985 | 6.6% |
| L | 20063 | 6.3% |
| O | 17898 | 5.6% |
| 16957 | 5.3% | |
| S | 14186 | 4.4% |
| M | 11750 | 3.7% |
| Other values (54) | 71582 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 298880 | |
| Space Separator | 16957 | 5.3% |
| Open Punctuation | 1164 | 0.4% |
| Close Punctuation | 1088 | 0.3% |
| Dash Punctuation | 818 | 0.3% |
| Other Punctuation | 676 | 0.2% |
| Decimal Number | 396 | 0.1% |
| Math Symbol | 57 | < 0.1% |
| Modifier Symbol | 1 | < 0.1% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 57006 | |
| I | 34826 | |
| E | 30120 | |
| R | 24664 | |
| N | 20985 | 7.0% |
| L | 20063 | 6.7% |
| O | 17898 | 6.0% |
| S | 14186 | 4.7% |
| M | 11750 | 3.9% |
| D | 11603 | 3.9% |
| Other values (27) | 55779 |
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 67 | |
| 2 | 58 | |
| 6 | 42 | |
| 1 | 41 | |
| 7 | 36 | |
| 0 | 36 | |
| 4 | 34 | |
| 8 | 32 | |
| 9 | 25 | 6.3% |
| 5 | 25 | 6.3% |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 509 | |
| . | 87 | 12.9% |
| * | 60 | 8.9% |
| \ | 8 | 1.2% |
| ' | 6 | 0.9% |
| , | 3 | 0.4% |
| ; | 2 | 0.3% |
| & | 1 | 0.1% |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 1162 | |
| [ | 2 | 0.2% |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 1087 | |
| ] | 1 | 0.1% |
Math Symbol
| Value | Count | Frequency (%) |
| = | 53 | |
| + | 4 | 7.0% |
Space Separator
| Value | Count | Frequency (%) |
| 16957 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 818 |
Modifier Symbol
| Value | Count | Frequency (%) |
| ` | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 298880 | |
| Common | 21157 | 6.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 57006 | |
| I | 34826 | |
| E | 30120 | |
| R | 24664 | |
| N | 20985 | 7.0% |
| L | 20063 | 6.7% |
| O | 17898 | 6.0% |
| S | 14186 | 4.7% |
| M | 11750 | 3.9% |
| D | 11603 | 3.9% |
| Other values (27) | 55779 |
Common
| Value | Count | Frequency (%) |
| 16957 | ||
| ( | 1162 | 5.5% |
| ) | 1087 | 5.1% |
| - | 818 | 3.9% |
| / | 509 | 2.4% |
| . | 87 | 0.4% |
| 3 | 67 | 0.3% |
| * | 60 | 0.3% |
| 2 | 58 | 0.3% |
| = | 53 | 0.3% |
| Other values (17) | 299 | 1.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 319838 | |
| None | 199 | 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 57006 | |
| I | 34826 | |
| E | 30120 | |
| R | 24664 | 7.7% |
| N | 20985 | 6.6% |
| L | 20063 | 6.3% |
| O | 17898 | 5.6% |
| 16957 | 5.3% | |
| S | 14186 | 4.4% |
| M | 11750 | 3.7% |
| Other values (43) | 71383 |
None
| Value | Count | Frequency (%) |
| Ç | 125 | |
| Ã | 27 | 13.6% |
| É | 19 | 9.5% |
| Á | 10 | 5.0% |
| Ú | 7 | 3.5% |
| Í | 6 | 3.0% |
| À | 1 | 0.5% |
| Ê | 1 | 0.5% |
| Ì | 1 | 0.5% |
| Ô | 1 | 0.5% |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.2 KiB |
| False |
|---|
| Value | Count | Frequency (%) |
| False | 40000 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.2 KiB |
| False |
|---|
| Value | Count | Frequency (%) |
| False | 40000 |
| Distinct | 2315 |
|---|---|
| Distinct (%) | 5.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9752.711101 |
| Minimum | 0 |
|---|---|
| Maximum | 38529098 |
| Zeros | 956 |
| Zeros (%) | 2.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 312.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 180 |
| Q1 | 270 |
| median | 400 |
| Q3 | 738 |
| 95-th percentile | 1739 |
| Maximum | 38529098 |
| Range | 38529098 |
| Interquartile range (IQR) | 468 |
Descriptive statistics
| Standard deviation | 485633.5056 |
|---|---|
| Coefficient of variation (CV) | 49.79471867 |
| Kurtosis | 3211.137561 |
| Mean | 9752.711101 |
| Median Absolute Deviation (MAD) | 177 |
| Skewness | 55.52751098 |
| Sum | 390108444.1 |
| Variance | 2.358399017 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 300 | 2007 | 5.0% |
| 500 | 1609 | 4.0% |
| 400 | 1589 | 4.0% |
| 180 | 1457 | 3.6% |
| 600 | 1227 | 3.1% |
| 350 | 1024 | 2.6% |
| 200 | 987 | 2.5% |
| 800 | 966 | 2.4% |
| 0 | 956 | 2.4% |
| 220 | 949 | 2.4% |
| Other values (2305) | 27229 |
| Value | Count | Frequency (%) |
| 0 | 956 | |
| 1 | 31 | 0.1% |
| 3 | 3 | < 0.1% |
| 6 | 1 | < 0.1% |
| 10 | 18 | < 0.1% |
| 20 | 1 | < 0.1% |
| 21 | 1 | < 0.1% |
| 22 | 2 | < 0.1% |
| 25 | 2 | < 0.1% |
| 33 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 38529098 | 1 | |
| 28660000 | 1 | |
| 26769527 | 1 | |
| 25900000 | 1 | |
| 25802236 | 1 | |
| 25570382 | 1 | |
| 25121958 | 1 | |
| 25088724 | 1 | |
| 25075228 | 1 | |
| 24673601 | 1 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 312.6 KiB |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 40000 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 40000 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 40000 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 40000 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 40000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 40000 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 40000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 40000 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 40000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 40000 |
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 312.6 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | 730 |
| 3 | 3 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 40000 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 34779 | |
| 1 | 4488 | 11.2% |
| 2 | 730 | 1.8% |
| 3 | 3 | < 0.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 34779 | |
| 1 | 4488 | 11.2% |
| 2 | 730 | 1.8% |
| 3 | 3 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 34779 | |
| 1 | 4488 | 11.2% |
| 2 | 730 | 1.8% |
| 3 | 3 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 40000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 34779 | |
| 1 | 4488 | 11.2% |
| 2 | 730 | 1.8% |
| 3 | 3 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 40000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 34779 | |
| 1 | 4488 | 11.2% |
| 2 | 730 | 1.8% |
| 3 | 3 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 40000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 34779 | |
| 1 | 4488 | 11.2% |
| 2 | 730 | 1.8% |
| 3 | 3 | < 0.1% |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 39.2 KiB |
| False |
|---|
| Value | Count | Frequency (%) |
| False | 40000 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 312.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 40000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 32100 | |
| 1 | 7900 | 19.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 32100 | |
| 1 | 7900 | 19.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 32100 | |
| 1 | 7900 | 19.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 40000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 32100 | |
| 1 | 7900 | 19.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 40000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 32100 | |
| 1 | 7900 | 19.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 40000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 32100 | |
| 1 | 7900 | 19.8% |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| ID_CLIENT | ID_SHOP | SEX | MARITAL_STATUS | AGE | QUANT_DEPENDANTS | EDUCATION | FLAG_RESIDENCIAL_PHONE | AREA_CODE_RESIDENCIAL_PHONE | PAYMENT_DAY | SHOP_RANK | RESIDENCE_TYPE | MONTHS_IN_RESIDENCE | FLAG_MOTHERS_NAME | FLAG_FATHERS_NAME | FLAG_RESIDENCE_TOWN=WORKING_TOWN | FLAG_RESIDENCE_STATE=WORKING_STATE | MONTHS_IN_THE_JOB | PROFESSION_CODE | MATE_INCOME | FLAG_RESIDENCIAL_ADDRESS=POSTAL_ADDRESS | FLAG_OTHER_CARD | QUANT_BANKING_ACCOUNTS | PERSONAL_REFERENCE_#1 | PERSONAL_REFERENCE_#2 | FLAG_MOBILE_PHONE | FLAG_CONTACT_PHONE | PERSONAL_NET_INCOME | COD_APPLICATION_BOOTH | QUANT_ADDITIONAL_CARDS_IN_THE_APPLICATION | FLAG_CARD_INSURANCE_OPTION | TARGET_LABEL_BAD=1 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2 | 15 | F | S | 18 | 0 | NaN | Y | 31 | 20 | 0 | P | 216 | Y | Y | Y | Y | 12 | 853 | 0.0 | Y | N | 0 | SARA | FELIPE | N | N | 300.0 | 0 | 0 | N | 0 |
| 1 | 4 | 12 | F | C | 47 | 0 | NaN | N | 31 | 25 | 0 | P | 180 | Y | Y | N | Y | 24 | 35 | 0.0 | Y | N | 0 | JACI | VALERIA ALEXANDRA TRAJANO | N | N | 304.0 | 0 | 0 | N | 0 |
| 2 | 5 | 16 | F | S | 28 | 0 | NaN | Y | 31 | 25 | 0 | O | 12 | Y | Y | Y | Y | 12 | 24 | 0.0 | Y | N | 0 | MARCIA CRISTINA ZANELLA | SANDRO L P MARTINS | N | N | 250.0 | 0 | 0 | N | 0 |
| 3 | 6 | 24 | M | S | 26 | 0 | NaN | N | 31 | 28 | 0 | P | 180 | Y | Y | N | Y | 0 | 999 | 0.0 | Y | N | 0 | MARCIO | ANA | N | N | 800.0 | 0 | 0 | N | 0 |
| 4 | 7 | 55 | F | S | 22 | 0 | NaN | Y | 31 | 12 | 0 | A | 0 | Y | Y | Y | Y | 48 | 999 | 0.0 | Y | N | 0 | FABIO (NOIVO) | EDU (AVO) | N | N | 410.0 | 0 | 0 | N | 0 |
| 5 | 8 | 6 | F | C | 21 | 0 | NaN | Y | 23 | 28 | 0 | A | 24 | Y | Y | Y | Y | 12 | 40 | 800.0 | Y | N | 0 | OLIONA MARIA CAMPOS | ELIZETE CAMPS COELHO | N | N | 248.0 | 0 | 0 | N | 0 |
| 6 | 9 | 3 | F | S | 27 | 0 | NaN | Y | 31 | 20 | 0 | A | 0 | Y | Y | Y | Y | 0 | 950 | 0.0 | Y | N | 0 | SUELI | REGINA | N | N | 1000.0 | 0 | 0 | N | 1 |
| 7 | 10 | 23 | F | C | 57 | 0 | NaN | Y | 31 | 12 | 0 | P | 24 | Y | Y | N | Y | 96 | 13 | 0.0 | Y | N | 0 | MARIA DE LOURDES | ZILDA | N | N | 856.0 | 0 | 0 | N | 0 |
| 8 | 11 | 25 | F | S | 53 | 0 | NaN | Y | 31 | 18 | 0 | P | 60 | Y | Y | N | Y | 24 | 13 | 0.0 | Y | N | 0 | ANA | MARIA MONICA | N | N | 738.0 | 0 | 1 | N | 1 |
| 9 | 12 | 12 | F | C | 32 | 0 | NaN | Y | 31 | 12 | 0 | P | 24 | Y | Y | N | Y | 0 | 165 | 0.0 | Y | N | 0 | ESTELLA OSVALDO CRUZ | ANA MARIA | N | N | 700.0 | 0 | 0 | N | 0 |
Last rows
| ID_CLIENT | ID_SHOP | SEX | MARITAL_STATUS | AGE | QUANT_DEPENDANTS | EDUCATION | FLAG_RESIDENCIAL_PHONE | AREA_CODE_RESIDENCIAL_PHONE | PAYMENT_DAY | SHOP_RANK | RESIDENCE_TYPE | MONTHS_IN_RESIDENCE | FLAG_MOTHERS_NAME | FLAG_FATHERS_NAME | FLAG_RESIDENCE_TOWN=WORKING_TOWN | FLAG_RESIDENCE_STATE=WORKING_STATE | MONTHS_IN_THE_JOB | PROFESSION_CODE | MATE_INCOME | FLAG_RESIDENCIAL_ADDRESS=POSTAL_ADDRESS | FLAG_OTHER_CARD | QUANT_BANKING_ACCOUNTS | PERSONAL_REFERENCE_#1 | PERSONAL_REFERENCE_#2 | FLAG_MOBILE_PHONE | FLAG_CONTACT_PHONE | PERSONAL_NET_INCOME | COD_APPLICATION_BOOTH | QUANT_ADDITIONAL_CARDS_IN_THE_APPLICATION | FLAG_CARD_INSURANCE_OPTION | TARGET_LABEL_BAD=1 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 39990 | 49989 | 19 | M | S | 28 | 0 | NaN | Y | 31 | 18 | 0 | P | 336 | Y | Y | N | Y | 12 | 514 | 0.0 | Y | N | 0 | SHEILA JUSSARA M CASTELAN | SHIRLEY | N | N | 691.0 | 0 | 0 | N | 0 |
| 39991 | 49990 | 24 | M | C | 58 | 0 | NaN | Y | 50 | 20 | 0 | P | 180 | Y | Y | N | Y | 72 | 999 | 0.0 | Y | N | 0 | SILVANIA / ROSE | AROLDO | N | N | 900.0 | 0 | 1 | N | 0 |
| 39992 | 49991 | 15 | M | C | 43 | 0 | NaN | Y | 31 | 28 | 0 | P | 108 | Y | Y | N | Y | 144 | 921 | 0.0 | Y | N | 0 | CECILIA | MARISA | N | N | 3500.0 | 0 | 1 | N | 1 |
| 39993 | 49992 | 25 | F | S | 23 | 0 | NaN | Y | 31 | 20 | 0 | A | 180 | Y | Y | Y | Y | 24 | 801 | 0.0 | Y | N | 0 | FABIANA | CLAUDIA | N | N | 362.0 | 0 | 0 | N | 0 |
| 39994 | 49993 | 18 | F | C | 38 | 0 | NaN | Y | 23 | 18 | 3 | P | 192 | Y | Y | N | Y | 0 | 999 | 0.0 | Y | N | 0 | GEOVANE S. RIBEIRO | SIDNÉIA MOZER | N | N | 0.0 | 0 | 0 | N | 0 |
| 39995 | 49994 | 1 | M | C | 29 | 0 | NaN | Y | 31 | 12 | 0 | A | 36 | Y | Y | N | Y | 24 | 305 | 0.0 | Y | N | 0 | RUTH | NaN | N | N | 796.0 | 0 | 1 | N | 1 |
| 39996 | 49995 | 12 | F | S | 20 | 0 | NaN | Y | 31 | 20 | 0 | P | 180 | Y | Y | Y | Y | 12 | 712 | 0.0 | Y | N | 0 | DALVA DE AZEVEDO | ANA | N | N | 200.0 | 0 | 0 | N | 0 |
| 39997 | 49996 | 19 | M | S | 21 | 0 | NaN | Y | 31 | 12 | 0 | P | 120 | Y | Y | Y | Y | 12 | 218 | 0.0 | Y | N | 0 | ALBA | DENILSON | N | N | 234.0 | 0 | 0 | N | 0 |
| 39998 | 49998 | 23 | F | S | 23 | 0 | NaN | Y | 31 | 28 | 0 | P | 264 | Y | Y | Y | Y | 12 | 991 | 0.0 | Y | N | 0 | NOVINA | GLAUCIA | N | N | 240.0 | 0 | 0 | N | 1 |
| 39999 | 50000 | 22 | M | S | 29 | 0 | NaN | Y | 31 | 23 | 0 | P | 48 | Y | Y | N | Y | 36 | 26 | 0.0 | Y | N | 0 | TITO MARTINS | NaN | N | N | 341.0 | 0 | 0 | N | 0 |